2020
DOI: 10.25371/troja.v20182601
|View full text |Cite
|
Sign up to set email alerts
|

(In) Noten suchen – Das Josquin Research Project

Abstract: Siehe außerdem die von Rainer Typke entwickelte www.musipedia.org/. Derzeit müssen sich die meisten OMR-basierten Suchvorgänge auf unkorrigierte, fehlerhafte Daten mit einer Fehlerquote von ca. 5 bis 10% stützen. So nützlich diese Tools auch als grobe Recherchehilfen sein mögen, können sie nur selten zuverlässige Erkenntnisse liefern, nicht zuletzt, weil jeder Fehler aufgrund seines vertikalen (d. h. harmonischen) Zusammenhangs multipliziert wird. 4 Gemeint ist hier natürlich die Themeneröffnung in den Streich… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 0 publications
0
2
0
Order By: Relevance
“…The symbolic music files came from two public collections of polyphonic Renaissance music: The Josquin Research Project (JRP), an open-access database of Renaissance scores in multiple symbolic formats curated by the strength of composer attribution (Rodin & Sapp, 2019), and RenComp7, a repository of MIDI scores with additional polyphonic vocal works of the Renaissance (McKay et al, 2017). From the RenComp7 dataset, we took 18 mass ordinary cycles by Tomás Luis de Victoria and the 101 by Giovanni Pierluigi da Palestrina.…”
Section: The Massesmentioning
confidence: 99%
“…The symbolic music files came from two public collections of polyphonic Renaissance music: The Josquin Research Project (JRP), an open-access database of Renaissance scores in multiple symbolic formats curated by the strength of composer attribution (Rodin & Sapp, 2019), and RenComp7, a repository of MIDI scores with additional polyphonic vocal works of the Renaissance (McKay et al, 2017). From the RenComp7 dataset, we took 18 mass ordinary cycles by Tomás Luis de Victoria and the 101 by Giovanni Pierluigi da Palestrina.…”
Section: The Massesmentioning
confidence: 99%
“…The symbolic music files for this corpus analysis came from two public collections of polyphonic Renaissance music: The Josquin Research Project (JRP), an open access database of Renaissance scores in multiple symbolic formats (Rodin & Sapp, 2019) and RenComp7, a repository of MIDI scores with additional polyphonic vocal works of the Renaissance (McKay et al, 2017). The RenComp7 dataset provided later works: 18 mass ordinary cycles by Tomás Luis de Victoria and the 101 by Giovanni Pierluigi da Palestrina.…”
Section: Dataset Of Symbolic Music Filesmentioning
confidence: 99%